Abstract: A system for generating a model for tracking a changing dimension feature of data in a business model includes a memory for storing the business model and a computer readable code for modeling the changes in the changing dimension feature and a processor for executing the computer readable code to perform method steps including capturing the changing dimension feature of the business model, transforming the changing dimension feature into a data warehouse model corresponding the business model, identifying changing dimensions and attributes in the changing dimension feature according to the data warehouse model, and generating a run-time deployable component for tracking the changing dimension feature based on the identified changing dimensions and attributes.

Abstract: Techniques for providing personalized location-aware nutrition management information are provided. The techniques include receiving geographical coordinates of an individual, acquiring nutritional information from one or more food providers within a designated proximity of the geographical coordinates of the individual, generating one or more nutrition selection options for the individual based on the nutritional information from the one or more food providers within a designated proximity of the geographical coordinates of the individual and dynamic nutritional guidelines for the individual, and outputting the one or more nutrition selection options to the individual.

Abstract: An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop includes nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time. The beginning or sensing element of the loop is triggered by a token (representing a business event from a business process). The ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle.

Abstract: A method, system, and computer usable program product for non-intrusive event-driven prediction of a metric in a data processing environment are provided in the illustrative embodiments. At least one set of events is observed in the data processing environment, the set of events being generated by several processes executing in the data processing environment. A subset of the set of events are tracked for an observation period, the tracking resulting in bookkeeping information about the subset of events. A pattern of events is detected in the bookkeeping information. The pattern is formed as a tuple representing a process in the several processes, the metric corresponding to the process. A prediction model is selected for the tuple. The prediction model is supplied with the tuple and executed to generate a predicted value of the metric.

Abstract: Techniques are disclosed for developing health management applications and managing health issues associated with one or more individuals or subjects. For example, a health management system includes the following modules. A health data transformation and routing module converts raw health data to at least one common format and routes the common format health data to one or more other modules that at least one of process and store the common format health data. A health monitoring module receives at least a portion of the common format health data, processes the received data, and provides one or more notifications based on processing results. A health analytics module receives data from one or more other modules and generates health knowledge based on the received data. A health data and knowledge storage module stores data from one or more other modules.

Abstract: A policy-driven approach to Business Performance Management (BPM) evolution is to capture the mechanism of BPM solution evolutions. These policies are executed by the runtime infrastructure which transforms and interprets evolution policies and allows fine granularity controls on solution evolution. At transformation time, the relationship among the event processing progress and the runtime state is derived based on the observation model. Such relationship information allows verification of freshness of migrating data and parallelization of runtime state validation and event processing. Consistent and efficient evolution of BPM solutions transit while event processing is operational.

Abstract: A system and method for augmenting a work-flow model to handle all expected and unexpected exceptions during run-time. The system includes an Exception Handling Knowledge Base (EHKB), a Work-flow Manager for managing the execution of the work-flow model and automatically adding exception transitions from the EHKB to the model except those forbidden, and a Work-flow Monitor for monitoring the model execution. The Monitor generating alerts to a business manager when the exceptions are encountered. At build-time, a process analyst could define a process schema in a Process Schema Repository, specify a forbidden exception or modify a schema to handle an exception based on guidance from the EHKB. At run-time, a user may initiate a forbidden exception with approval from the business manager.

Abstract: A system and method for developing and enabling model-driven extensible Markup Language (XML) transformation to XML Metadata Interchange (XMI) format incorporate a strong built-in validation capability. A platform independent framework applies multiple passes of transformation, where each pass performs specific operations on internal models. Different source models are then merged into a target model.

Abstract: A method, information processing system, and computer readable storage medium manage and predict profit leakage. A dynamic deduction space is created that includes a plurality of dimensions associated with historical deduction data and profit leakage information associated with a combination of two or more of the dimensions. Information associated with an open deduction is received. A dimension set in the deduction space is identified that corresponds to the open deduction. A profit leakage classification is assigned to the open deduction based on profit leakage information associated with the dimension set.

Abstract: An adaptive integration activity management framework for on demand business process integration provides a mechanism to enable easy integration of legacy and new applications. The framework minimizes the effort need to integrate a new application into an existing business process environment such that the new activity is a “plug-in” into an action manager by implementing a standard adaptation layer. Activity integration is implemented in the principle of “on-demand” because it is invoked as required, so the communication and collaboration between partners become much more flexible.

Abstract: Systems and methods for monitoring and controlling business level SLAs (Service level Agreements), and more particularly, systems and method for monitoring and controlling business level SLAs using probe points, KPIs (Key Performance Indicators) and business commitments. An XML (extensible Markup Language)-based specification referred to as BPCL (Business Process Commitment Language) is used to describe business commitments. BPCL specifications are used by a business process management (BPM) system to configure, monitor, and control business processes based on business commitments. Business Commitments and BPCL provide a path toward model-based management for dynamic e-business solutions.

Abstract: A method and system for measuring the learning ability and productivity of knowledge workers related to the delivery of services in service industry sectors, such as information technology (IT), healthcare and accounting. The method and system applies broadly to service domains that have a strong correlation between the learning ability and skill level of workers wherein the correlation affects the quality of service delivery. Utilizing data mining techniques, the method and system captures, analyzes and benchmarks individual knowledge worker's skill(s) in order to normalize individual service agent proficiencies. The normalized service agent proficiencies allows the relative learning and skill indices of the individual service agents to be determined such that the skills and learning abilities of individual service agents to be determined. The method and system allows best practices and training thresholds to be determined.

Abstract: A method, information processing system, and computer readable storage medium manage and predict profit leakage. A dynamic deduction space is created that includes a plurality of dimensions associated with historical deduction data and profit leakage information associated with a combination of two or more of the dimensions. Information associated with an open deduction is received. A dimension set in the deduction space is identified that corresponds to the open deduction. A profit leakage classification is assigned to the open deduction based on profit leakage information associated with the dimension set.

Abstract: A policy-driven approach to Business Performance Management (BPM) evolution is to capture the mechanism of BPM solution evolutions. These policies are executed by the runtime infrastructure which transforms and interprets evolution policies and allows fine granularity controls on solution evolution. At transformation time, the relationship among the event processing progress and the runtime state is derived based on the observation model. Such relationship information allows verification of freshness of migrating data and parallelization of runtime state validation and event processing. Consistent and efficient evolution of BPM solutions transit while event processing is operational.

Abstract: A system for generating a model for tracking a changing dimension feature of data in a business model includes a memory for storing the business model and a computer readable code for modeling the changes in the changing dimension feature and a processor for executing the computer readable code to perform method steps including capturing the changing dimension feature of the business model, transforming the changing dimension feature into a data warehouse model corresponding the business model, identifying changing dimensions and attributes in the changing dimension feature according to the data warehouse model, and generating a run-time deployable component for tracking the changing dimension feature based on the identified changing dimensions and attributes.

Abstract: An adaptive integration activity management framework for on demand business process integration provides a mechanism to enable easy integration of legacy and new applications. The framework minimizes the effort need to integrate a new application into an existing business process environment such that the new activity is a “plug-in” into an action manager by implementing a standard adaptation layer. Activity integration is implemented in the principle of “on-demand” because it is invoked as required, so the communication and collaboration between partners become much more flexible.

Abstract: A method (and apparatus) for adapting an input parameter, for dynamically invoke the target Web services, and for adapting output results, the method including: receiving an invocation request including an input parameter in a first format; retrieving MetaWSDL (Meta Web Service Description Language) wherein said MetaWSDL includes a universal XML (eXtended Markup Language) representation which includes semantic information of a Web service method signature; invoking a MetaWSDL processor to adapt the input parameter to a second format using the retrieved MetaWSDL; dynamically invoking the target Web services using the adapted parameter in the second format; and adapting the output result in a first format to a second format using the MetaWSDL.

Abstract: A method and system for enterprise monitoring maps monitor events to elements of a component business model of the enterprise and displays the mapped events using the component business model. Rules are used to determine whether events captured from a monitor source are monitor events. An enterprise monitor metamodel linking monitor artifacts and elements of a component business model is used to annotate monitor events with data from the component business model of the enterprise.

Abstract: A model-driven and QoS-aware infrastructure facilitates the scalable composition of Web services in highly dynamic environments. An exception management framework supports two modes of exception management for business processes, providing a novel policy-driven approach to exception management implemented in the system infrastructure. Exception management is implemented in the system infrastructure, with exception handling policies supplied by individual business processes. Using the exception management framework, developers define exception policies in a declarative manner. Before a business process is executed, the service composition middleware integrates the exception policies with normal business logic to generate a complete process schema. This policy driven-approach can significantly reduce the development time of business processes through its separation of the development of the business logic and the exception handling policies.

Abstract: A system and method for developing and enabling model-driven extensible Markup Language (XML) transformation to XML Metadata Interchange (XMI) format incorporate a strong built-in validation capability. A platform independent framework applies multiple passes of transformation, where each pass performs specific operations on internal models. Different source models are then merged into a target model.